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Abstract #0387

Sparse Radial k-t SPIRiT for Dynamic Liver Imaging

Dan Zhu 1 , Feng Huang 2 , Jia Ning 1 , Feiyu Chen 1 , and Huijun Chen 1

1 Tsinghua University, Beijing, Beijing, China, 2 Philips Healthcare, Suzhou, Jiangsu, China

We proposed the reconstruction method of sparse radial k-t SPIRiT, which combines sparsity constraint into radial k-t SPIRiT for highly accelerated dynamic imaging with high spatiotemporal resolution. The efficiency of the proposed method was demonstrated by phantom and in-vivo liver data acquired with golden angle radial trajectory. The proposed method has higher SNR and less striking artifacts compared to SPIRiT and radial k-t SPIRiT reconstruction without sparsity constraint.

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